ArticleScience advances2021
Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- High-speed reservoir computing using photonic integrated circuit optical parametric oscillators.Science advances · 2026Article
- Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- Protonic nickelate device networks for spatiotemporal neuromorphic computing.Nature nanotechnology · 2026Article
- Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications.Small methods · 2026Review
- Organic Electrochemical Transistors for Neuromorphic Devices and Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Chemical control for the morphogenesis of conducting polymer dendrites in water.RSC applied polymers · 2026Article
- Electropolymerization of Organic Mixed Ionic-Electronic Conductors: Fundamentals and Applications in Bioelectronics.Chemical reviews · 2026Review
- Very-large-scale mimetic optogenetic synapses for physical reservoir computing.Nature communications · 2026Article
- Reservoir computing from collective dynamics of active colloidal oscillators.Communications AI & computing · 2026Article
- Intrinsic Disordered Network in Multiferroic YMnOSmall (Weinheim an der Bergstrasse, Germany) · 2025Article
- Device-level nonlinearity and temporal memory in optoelectronic reservoir computing.Nano convergence · 2025Review
- Boosting reservoir computing with brain-inspired adaptive control of E-I balance.Nature communications · 2025Article
- Constructing artificial neurons with functional parameters comprehensively matching biological values.Nature communications · 2025Article
- Addressing transconductance-bandwidth trade-off by three-dimensional electrolyte-surrounded organic electrochemical transistors.Science advances · 2025Article
- Brain-Inspired Polymer Dendrite Networks for Morphology-Dependent Computing Hardware.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Spatial control of doping in conducting polymers enables complementary, conformable, implantable internal ion-gated organic electrochemical transistors.Nature communications · 2025Article
- A Dual-Modal Memory Organic Electrochemical Transistor Implementation for Reservoir Computing.Small science · 2025Article
- Analog reservoir computing via ferroelectric mixed phase boundary transistors.Nature communications · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early detection of malign patterns in patients' biological signals can save millions of lives. Despite the steady improvement of artificial intelligence-based techniques, the practical clinical application of these methods is mostly constrained to an offline evaluation of the patients' data. Previous studies have identified organic electrochemical devices as ideal candidates for biosignal monitoring. However, their use for pattern recognition in real time was never demonstrated. Here, we produce and characterize brain-inspired networks composed of organic electrochemical transistors and use them for time-series predictions and classification tasks using the reservoir computing approach. To show their potential use for biofluid monitoring and biosignal analysis, we classify four classes of arrhythmic heartbeats with an accuracy of 88%. The results of this study introduce a previously unexplored paradigm for biocompatible computational platforms and may enable development of ultralow-power consumption hardware-based artificial neural networks capable of interacting with body fluids and biological tissues.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.